presize collections

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1517418 13f79535-47bb-0310-9956-ffa450edef68

src/main/java/org/apache/commons/math3/analysis/differentiation/DSCompiler.java

@@ -361,7 +361,7 @@ public class DSCompiler {
 
         for (int i = 0; i < dSize; ++i) {
             final int[][] dRow = derivativeCompiler.multIndirection[i];
-            List<int[]> row = new ArrayList<int[]>();
+            List<int[]> row = new ArrayList<int[]>(dRow.length * 2);
             for (int j = 0; j < dRow.length; ++j) {
                 row.add(new int[] { dRow[j][0], lowerIndirection[dRow[j][1]], vSize + dRow[j][2] });
                 row.add(new int[] { dRow[j][0], vSize + dRow[j][1], lowerIndirection[dRow[j][2]] });

src/main/java/org/apache/commons/math3/distribution/MixtureMultivariateNormalDistribution.java

@@ -83,7 +83,7 @@ public class MixtureMultivariateNormalDistribution
                                                                                        double[][] means,
                                                                                        double[][][] covariances) {
         final List<Pair<Double, MultivariateNormalDistribution>> mvns
-            = new ArrayList<Pair<Double, MultivariateNormalDistribution>>();
+            = new ArrayList<Pair<Double, MultivariateNormalDistribution>>(weights.length);
 
         for (int i = 0; i < weights.length; i++) {
             final MultivariateNormalDistribution dist

src/main/java/org/apache/commons/math3/distribution/MixtureMultivariateRealDistribution.java

@@ -153,7 +153,7 @@ public class MixtureMultivariateRealDistribution<T extends MultivariateRealDistr
      * @return the component distributions and associated weights.
      */
     public List<Pair<Double, T>> getComponents() {
-        final List<Pair<Double, T>> list = new ArrayList<Pair<Double, T>>();
+        final List<Pair<Double, T>> list = new ArrayList<Pair<Double, T>>(weight.length);
 
         for (int i = 0; i < weight.length; i++) {
             list.add(new Pair<Double, T>(weight[i], distribution.get(i)));

src/main/java/org/apache/commons/math3/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java

@@ -327,7 +327,7 @@ public class MultivariateNormalMixtureExpectationMaximization {
 
         // components of mixture model to be created
         final List<Pair<Double, MultivariateNormalDistribution>> components =
-                new ArrayList<Pair<Double, MultivariateNormalDistribution>>();
+                new ArrayList<Pair<Double, MultivariateNormalDistribution>>(numComponents);
 
         // create a component based on data in each bin
         for (int binIndex = 0; binIndex < numComponents; binIndex++) {

src/main/java/org/apache/commons/math3/geometry/euclidean/threed/SubLine.java

@@ -81,7 +81,7 @@ public class SubLine {
     public List<Segment> getSegments() {
 
         final List<Interval> list = remainingRegion.asList();
-        final List<Segment> segments = new ArrayList<Segment>();
+        final List<Segment> segments = new ArrayList<Segment>(list.size());
 
         for (final Interval interval : list) {
             final Vector3D start = line.toSpace(new Vector1D(interval.getInf()));

src/main/java/org/apache/commons/math3/geometry/euclidean/twod/PolygonsSet.java

@@ -186,7 +186,7 @@ public class PolygonsSet extends AbstractRegion<Euclidean2D, Euclidean1D> {
         }
 
         // build the edges
-        List<Edge> edges = new ArrayList<Edge>();
+        List<Edge> edges = new ArrayList<Edge>(n);
         for (int i = 0; i < n; ++i) {
 
             // get the endpoints of the edge

src/main/java/org/apache/commons/math3/geometry/euclidean/twod/SubLine.java

@@ -81,7 +81,7 @@ public class SubLine extends AbstractSubHyperplane<Euclidean2D, Euclidean1D> {
 
         final Line line = (Line) getHyperplane();
         final List<Interval> list = ((IntervalsSet) getRemainingRegion()).asList();
-        final List<Segment> segments = new ArrayList<Segment>();
+        final List<Segment> segments = new ArrayList<Segment>(list.size());
 
         for (final Interval interval : list) {
             final Vector2D start = line.toSpace(new Vector1D(interval.getInf()));

src/main/java/org/apache/commons/math3/ode/AbstractIntegrator.java

@@ -141,7 +141,7 @@ public abstract class AbstractIntegrator implements FirstOrderIntegrator {
 
     /** {@inheritDoc} */
     public Collection<EventHandler> getEventHandlers() {
-        final List<EventHandler> list = new ArrayList<EventHandler>();
+        final List<EventHandler> list = new ArrayList<EventHandler>(eventsStates.size());
         for (EventState state : eventsStates) {
             list.add(state.getEventHandler());
         }

src/main/java/org/apache/commons/math3/optim/linear/SimplexTableau.java

@@ -269,7 +269,7 @@ class SimplexTableau implements Serializable {
      * @return new versions of the constraints
      */
     public List<LinearConstraint> normalizeConstraints(Collection<LinearConstraint> originalConstraints) {
-        List<LinearConstraint> normalized = new ArrayList<LinearConstraint>();
+        List<LinearConstraint> normalized = new ArrayList<LinearConstraint>(originalConstraints.size());
         for (LinearConstraint constraint : originalConstraints) {
             normalized.add(normalize(constraint));
         }

src/main/java/org/apache/commons/math3/optimization/linear/SimplexTableau.java

@@ -249,7 +249,7 @@ class SimplexTableau implements Serializable {
      * @return new versions of the constraints
      */
     public List<LinearConstraint> normalizeConstraints(Collection<LinearConstraint> originalConstraints) {
-        List<LinearConstraint> normalized = new ArrayList<LinearConstraint>();
+        List<LinearConstraint> normalized = new ArrayList<LinearConstraint>(originalConstraints.size());
         for (LinearConstraint constraint : originalConstraints) {
             normalized.add(normalize(constraint));
         }